Description:FIELD OF THE INVENTION
Our Invention is to a Foot Pressure Monitoring Device (Baropodometry System)

BACKGROUND OF THE INVENTION
● Real-Time Visualization: The system provides live, colored pressure maps of the foot, helping clinicians quickly identify problem areas.
● 3D Foot Model: A unique feature of our software is a 3D virtual model of the foot that moves in real-time, mirroring the subject’s motion for more comprehensive analysis.
● Dynamic Gait Analysis: The system automatically detects and analyzes key phases of the walking cycle, such as Heel Strike and Toe Off, providing objective data on gait paflerns.
● Comprehensive Reports: Generate detailed, easy-to-read reports in a PDF format, which can be used for patient records or shared with other healthcare professionals.
● Standardized Testing: The software standardizes the analysis by focusing on the most reliable data from a middle section of a walk test, filtering out inconsistent starting and stopping steps.
● Patient Management: The system includes a secure way to manage patient records and store historical data for tracking progress over time.

PRIOR ART SEARCH
US7726206B2
This invention relates to a system that continuously monitors pressure and force on the foot, analyzes and visualizes the pressure and force exerted on said foot in real-time. The invention measures pressure and force applied to a plurality of sensors placed in various points of an orthotic, shoe, shoe lining, insert, sock or sock type device. If the sensors detect pressure or force, the sensors send a signal to a microcomputer processor located in the shoe that subsequently analyzes and sends the data wireless to either a handheld electronic device, a personal computer, an electronic data capture system or a software program. The handheld electronic device or the personal computer then displays the data to an operator of the device or computer instantaneously; while the data capture system or program forwards the information to a handheld device and/or personal computer.
EP2571424B1: An expandable platform for measuring plantar pressures

OBJECTIVES OF THE INVENTION
1. Objective-1: Deep Clinical Collaboration: The device and its features have been developed in direct consultation with the Era University Physiotherapy Department, ensuring it meets the real-world needs of medical professionals.
2. Objective-2: Intuitive User Experience: The software is designed to be user-friendly, allowing physiotherapists to focus on the patient rather than on complex technology.
3. Objective-3: Our device is built with future innovation in mind. We are actively exploring the integration of artificial intelligence to further enhance its capabilities:
4. Objective-4: AI-Driven Clinical Insights: The system could analyze a patient's data and automatically generate a preliminary clinical summary, highlighting key areas of concern and suggesting potential diagnoses.
5. Objective-5: Personalized Rehabilitation Plans: AI could process a patient's gait data and recommend a personalized rehabilitation plan, complete with specific exercises and performance targets.
6. Objective-6: Predictive Analysis: By analyzing historical data and identifying subtle paflerns, AI could predict the risk of future injuries or the progression of a condition, allowing for proactive interventions.
7. Objective-7: Automated Anomaly Detection: The system could use machine learning to automatically flag unusual or high-risk pressure distributions that a human eye might miss, alerting clinicians to potential issues.

SUMMARY OF THE INVENTION
The present invention is a system for sensing and alerting a user to changes in pressure and force upon a foot during resting, sitting, standing or exercise, like walking, by using footwear having a plurality of primary pressure sensors, a medical node connected to the plurality of primary pressure sensors, and a base station connected to the medical node.
BRIEF DESCRIPTION OF THE DIAGRAM
This invention relates to a system that continuously monitors pressure and force on the foot, analyzes and visualizes the pressure and force exerted on said foot in real-time. The invention measures pressure and force applied to a plurality of sensors placed in various points of an orthotic, shoe, shoe lining, insert, sock or sock type device. If the sensors detect pressure or force, the sensors send a signal to a microcomputer processor located in the shoe that subsequently analyzes and sends the data wireless to either a handheld electronic device, a personal computer, an electronic data capture system or a software program. The handheld electronic device or the personal computer then displays the data to an operator of the device or computer instantaneously; while the data capture system or program forwards the information to a handheld device and/or personal computer.
DESCRIPTION OF THE INVENTION
● Affordability: We provide advanced features that are typically found in much more expensive systems, making our technology accessible to a wider range of clinics and institutions.

● Deep Clinical Collaboration: The device and its features have been developed in direct consultation with the Era University Physiotherapy Department, ensuring it meets the real-world needs of medical professionals.
● Intuitive User Experience: The software is designed to be user-friendly, allowing physiotherapists to focus on the patient rather than on complex technology.

2. Potential for Future AI Integration
Our device is built with future innovation in mind. We are actively exploring the integration of artificial intelligence to further enhance its capabilities:
● AI-Driven Clinical Insights: The system could analyze a patient's data and automatically generate a preliminary clinical summary, highlighting key areas of concern and suggesting potential diagnoses.
● Personalized Rehabilitation Plans: AI could process a patient's gait data and recommend a personalized rehabilitation plan, complete with specific exercises and performance targets.
● Predictive Analysis: By analyzing historical data and identifying subtle paflerns, AI could predict the risk of future injuries or the progression of a condition, allowing for proactive interventions.
● Automated Anomaly Detection: The system could use machine learning to automatically flag unusual or high-risk pressure distributions that a human eye might miss, alerting clinicians to potential issues.

 
, Claims:WE CLAIMS

Claim 1: Our joint project, a Foot Pressure Monitoring Device, is an innovative and affordable system for analyzing foot pressure in real-time. Developed to meet the specific needs of physiotherapists and researchers, this device provides a powerful tool for diagnosing foot-related issues, improving gait analysis, and personalizing rehabilitation plans. By combining sophisticated sensing technology with intuitive software, we are making advanced biomechanical analysis more accessible and practical. The Foot Pressure Monitoring Device represents a significant step forward in diagnostic and rehabilitation tools. We believe its combination of advanced functionality, affordability, and clinical relevance, coupled with a clear roadmap for AI integration, will be a valuable asset to the physiotherapy community. We invite you to a live demonstration at the IAP Health Expo to see firsthand how our device can help shape the future of healthcare.

Claim-2: Affordability: We provide advanced features that are typically found in much more expensive systems, making our technology accessible to a wider range of clinics and institutions.
Claim-3: Deep Clinical Collaboration: The device and its features have been developed in direct consultation with the Era University Physiotherapy Department, ensuring it meets the real-world needs of medical professionals.
Claim-4: Intuitive User Experience: The software is designed to be user-friendly, allowing physiotherapists to focus on the patient rather than on complex technology.
Claim-5: Our device is built with future innovation in mind. We are actively exploring the integration of artificial intelligence to further enhance its capabilities:
Claim-6: AI-Driven Clinical Insights: The system could analyze a patient's data and automatically generate a preliminary clinical summary, highlighting key areas of concern and suggesting potential diagnoses.
Claim-7: Personalized Rehabilitation Plans: AI could process a patient's gait data and recommend a personalized rehabilitation plan, complete with specific exercises and performance targets.
Claim-8: Predictive Analysis: By analyzing historical data and identifying subtle paflerns, AI could predict the risk of future injuries or the progression of a condition, allowing for proactive interventions.
Claim-9: Automated Anomaly Detection: The system could use machine learning to automatically flag unusual or high-risk pressure distributions that a human eye might miss, alerting clinicians to potential issues